Google App Engine vs. Oracle Hyperion (legacy)

App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.

Incentivized

Well suited: For use in multiple offices around the world. I was able to obtain financial reporting data from 5 foreign offices and then consolidate their data with 3 domestic USA offices to prepare a consolidated financial statement. Less Appropriate: Translating the financial value for consulting services could be a bit challenging because that required human interaction and judgement. It would have been great to be able to set up some software to be able to interpret this and let it run for all future project work revenue projection.

Incentivized

• Quick to develop, quick to deploy. You can be up and running on Google App Engine in no time.
• Flexible. We use Java for some services and Node.js for others.
• Great security features. We have been consistently impressed with the security and authentication features of Google App Engine.

Incentivized

• This product handles budgeting by Employee and/or Position very well. It is highly flexible and allows Hyperion administrators the ability to develop a planning application that fits a variety of different business needs.
• It is great at calculating benefits using business rules to automate the population of these fringe costs in the overall budget planning process. This greatly reduces user error.
• It allows you to seed the operating budget based on changes to key drivers, such as percentage increases, flat dollar increases and more detailed changes using business rules.
• Allows visibility into the plans for each unit across the organization, rolled up into an overall budget for the campus.
• It handles the creation of budgets with multiple chartfield segments or dimensions, which most other budgeting systems cannot handle well. It can aggregate these very quickly.

Incentivized

• There is a slight learning curve to getting used to code on Google App Engine.
• Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
• Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)

Incentivized

• One pain point for us is the consolidation and translation process. Needing to translate the data over and over again is frustrating and there is no visibility into how many users are running a translation. If multiple users attempt to translate the same data set, say goodbye to your performance but you have no way of knowing! (Unless you want to pull up a task audit which is not a very realistic expectation). It has the been the quickest way for us to bring the system to it's knees. The consolidation process performs in direct correlation to the complexity of the calculation/consolidation rules. So, while the product is extremely flexible, you still have to be careful how you design your rules and calculations to make sure that you do it on the smallest subset of data as possible to avoid large processing times. This makes sense, but requires some significant expertise that most organizations do not have in-house.
• The Hyperion Financial Reporting product is ridiculously outdated and clunky to use. The interface for designing reports is not intuitive, and not easy to modify once a report is built. I think there must be a strategic decision to move away from it and go to something more like Oracle BI because I just can't understand why in the world they don't update the reporting product. It also requires a significant level of expertise to be able to use. Not a great solution at all if you want multiple end-users to create reports in something other than Excel. Nobody except the HFM admin (which I used to be) in our company even touches this module.
• Another pain point is the amount of IT support that is required to run this thing, and again, specialized knowledge of Hyperion products and how they work is required for IT to adequately support it. This goes for application servers and the Oracle database that the applications are running on.

App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.

Incentivized

We're in the middle of the road because we are not sure that other products on the market fit the bill for what we need yet. Hyperion is expensive and burdensome from an administrator and maintenance standpoint, but it still seems to be the best solution for what we need. Show us an equally capable SaaS consolidation product and we'll talk again.

I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster

Incentivized

Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.

Incentivized

The premium support team provides much needed dedicated customer service which we are after for what we have paid for this service. We are satisfied with the service and support and do not have any instance where there was an issue that requires escalation to get the right support team. Though the incidence of major issues that requires the premium support are less, we prefer to keep this as a safety net.

Incentivized

We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as compared to the other major players in Azure and AWS.

Incentivized

I use Oracle Hyperion Enterprise Performance Mangement because the company I work at requires me to use it in the Financial Planning sector as most of their data is stored in it. I am open minded and ready to use other performance management tools created by Oracle if my work permits.

Incentivized

• Effective employee adoption through ease of use.
• Effective integration to other java based frameworks.
• Time to market is very quick. Build, test, deploy and use.
• The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.

Incentivized

• Oracle Hyperion allows us to automate and consolidate financial data that used to be performed manually in spreadsheets. From that perspective the ROI is huge.
• Oracle Hyperion functionality is extensive and allows us to perform most functions for planning, consolidating and reporting on our financial data.
• One negative with Oracle Hyperion is that it is complicated to implement and maintain. It takes expertise at all levels (infrastructure and management) to realize the benefits from it.

Incentivized